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Found 10 papers, 8 papers with code
An Empirical Study on Compliance with Ranking Transparency in the Software Documentation of EU Online Platforms
Compliance with the European Union's Platform-to-Business (P2B) Regulation is challenging for online platforms, and assessing their compliance can be difficult for public authorities.
A Survey on Methods and Metrics for the Assessment of Explainability under the Proposed AI Act
A standardisation process is ongoing: several entities (e. g. ISO) and scholars are discussing how to design systems that are compliant with the forthcoming Act and explainability metrics play a significant role.
Generating User-Centred Explanations via Illocutionary Question Answering: From Philosophy to Interfaces
Therefore, we hypothesise that if an explanatory process is an illocutionary act of providing content-giving answers to questions, and illocution is as we defined it, the more explicit and implicit questions can be answered by an explanatory tool, the more usable its explanations.
Disease Prediction
Explainable Artificial Intelligence (XAI)
+3
Making Things Explainable vs Explaining: Requirements and Challenges under the GDPR
The European Union (EU) through the High-Level Expert Group on Artificial Intelligence (AI-HLEG) and the General Data Protection Regulation (GDPR) has recently posed an interesting challenge to the eXplainable AI (XAI) community, by demanding a more user-centred approach to explain Automated Decision-Making systems (ADMs).
Explanation-Aware Experience Replay in Rule-Dense Environments
In this paper, we propose a method for organising experience by means of partitioning the experience buffer into clusters labelled on a per-explanation basis.
An Objective Metric for Explainable AI: How and Why to Estimate the Degree of Explainability
Explainable AI was born as a pathway to allow humans to explore and understand the inner working of complex systems.
From Philosophy to Interfaces: an Explanatory Method and a Tool Inspired by Achinstein's Theory of Explanation
We propose a new method for explanations in Artificial Intelligence (AI) and a tool to test its expressive power within a user interface.
Explainable Artificial Intelligence (XAI)
Knowledge Graphs
+2
Deep Learning Based Multi-Label Text Classification of UNGA Resolutions
The main goal of this research is to produce a useful software for United Nations (UN), that could help to speed up the process of qualifying the UN documents following the Sustainable Development Goals (SDGs) in order to monitor the progresses at the world level to fight poverty, discrimination, climate changes.
Combining Experience Replay with Exploration by Random Network Distillation
Our work is a simple extension of the paper "Exploration by Random Network Distillation".
Crawling in Rogue's dungeons with (partitioned) A3C
Rogue is a famous dungeon-crawling video-game of the 80ies, the ancestor of its gender.
